Commit 5fef67f6 authored by space-nuko's avatar space-nuko
Browse files

Requested changes

parent ac38ad7e

modules/models/diffusion/uni_pc/sampler.py

+1 −1
Original line number Diff line number Diff line
@@ -93,7 +93,7 @@ class UniPCSampler(object): 
            guidance_scale=unconditional_guidance_scale,

        )



        uni_pc = UniPC(model_fn, ns, predict_x0=True, thresholding=shared.opts.uni_pc_thresholding, variant=shared.opts.uni_pc_variant, condition=conditioning, unconditional_condition=unconditional_conditioning, before_sample=self.before_sample, after_sample=self.after_sample, after_update=self.after_update)

        uni_pc = UniPC(model_fn, ns, predict_x0=True, thresholding=False, variant=shared.opts.uni_pc_variant, condition=conditioning, unconditional_condition=unconditional_conditioning, before_sample=self.before_sample, after_sample=self.after_sample, after_update=self.after_update)

        x = uni_pc.sample(img, steps=S, skip_type=shared.opts.uni_pc_skip_type, method="multistep", order=shared.opts.uni_pc_order, lower_order_final=shared.opts.uni_pc_lower_order_final)



        return x.to(device), None

modules/sd_samplers_compvis.py

+3 −1
Original line number Diff line number Diff line
@@ -140,6 +140,8 @@ class VanillaStableDiffusionSampler: 


    def adjust_steps_if_invalid(self, p, num_steps):

        if ((self.config.name == 'DDIM') and p.ddim_discretize == 'uniform') or (self.config.name == 'PLMS') or (self.config.name == 'UniPC'):

            if self.config.name == 'UniPC' and num_steps < shared.opts.uni_pc_order:

                num_steps = shared.opts.uni_pc_order

            valid_step = 999 / (1000 // num_steps)

            if valid_step == math.floor(valid_step):

                return int(valid_step) + 1

modules/shared.py

+1 −2
Original line number Diff line number Diff line
@@ -485,10 +485,9 @@ options_templates.update(options_section(('sampler-params', "Sampler parameters" 
    's_noise': OptionInfo(1.0, "sigma noise", gr.Slider, {"minimum": 0.0, "maximum": 1.0, "step": 0.01}),

    'eta_noise_seed_delta': OptionInfo(0, "Eta noise seed delta", gr.Number, {"precision": 0}),

    'always_discard_next_to_last_sigma': OptionInfo(False, "Always discard next-to-last sigma"),

    'uni_pc_variant': OptionInfo("bh1", "UniPC variant", gr.Radio, {"choices": ["bh1", "vary_coeff"]}),

    'uni_pc_variant': OptionInfo("bh1", "UniPC variant", gr.Radio, {"choices": ["bh1", "bh2", "vary_coeff"]}),

    'uni_pc_skip_type': OptionInfo("time_uniform", "UniPC skip type", gr.Radio, {"choices": ["time_uniform", "time_quadratic", "logSNR"]}),

    'uni_pc_order': OptionInfo(3, "UniPC order (must be < sampling steps)", gr.Slider, {"minimum": 1, "maximum": 50, "step": 1}),

    'uni_pc_thresholding': OptionInfo(False, "UniPC thresholding"),

    'uni_pc_lower_order_final': OptionInfo(True, "UniPC lower order final"),

}))

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